Rapid surrogate modelling of water-hammer in water distribution networks using spatiotemporal graph convolutional networks

Safe drinking water is essential to public health and social stability. Despite advances in modern materials and design, water distribution systems (WDSs) remain vulnerable to failure. Pipe ruptures are particularly consequential because they generate pressure surges (water hammer) that propagate th...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Minhyuk Jeung, Hyunjun Kim, Younggu Her, Sang-Soo Baek
Format:	Artigo
Sprog:	Inglês
Udgivet:	Taylor & Francis Group 2026-12-01
Serier:	Engineering Applications of Computational Fluid Mechanics
Fag:	Graph convolutional networks water distribution systems pipe rupture water hammer effects spatiotemporal graph convolutional networks
Online adgang:	https://www.tandfonline.com/doi/10.1080/19942060.2026.2630557
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!